Betawi Language Model: Bokap Betawi-7B
Bokap Betawi is a language model fine-tuned from Qwen 2.5 7B on 1,000 instruction-output pairs synthetic Betawi language dataset generated using GPT-4o. This model is specifically made to enhance the performance of tasks in bahasa Betawi.
Version Alpha
This model was converted to GGUF format from risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model. See here for another version:
| Version | URL |
|---|---|
| fp16 | Bokap-Betawi-v0-Qwen2.5-7B-fp16 |
| 4bit | Bokap-Betawi-v0-Qwen2.5-7B-4bit |
| GGUF | Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF |
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.gguf -c 2048
Description
- Developed by: Risang Panggalih
- Finetuned from model: Qwen 2.5 7B
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